Hybrid Authentification System of Face Mask Detection Using CNN-based on Lightweight Cryptography and Blockchain Technology

COVID-19 is currently wreaking havoc around the world. A severe acute respiratory pattern causes acute COVID-19 disease (SARS-CoV-2). Face masks have become very popular in our daily life. These face shields have raised concerns about the accuracy of facial recognition technology used to check hand/student attendance and unlock phones. Many companies use facial recognition as an identification system and have created internal databases to implement such a system. Security and authentication are critical in these situations, as an untrusted hostile device can compromise an IoT system. In this study, we proposed a new method based on a fusion algorithm that merges password and image features to increase the randomness and security of the pattern structure and developed a combination of cryptography and blockchain technology. This technique ensures that the image verification system is protected when accepting standards for confidentiality and security information by transferring the model from the Acess point to the destination.